4-bit Autotrain compatible Code Endpoints compatible Gptq Instruct Quantized Region:us Safetensors Starcoder2
Starcoder2 7B Instruct GPTQ Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Starcoder2 7B Instruct GPTQ Parameters and Internals
| LLM Name | Starcoder2 7B Instruct GPTQ |
| Repository 🤗 | https://huggingface.co/TechxGenus/starcoder2-7b-instruct-GPTQ |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.5 GB |
| Updated | 2024-09-16 |
| Maintainer | TechxGenus |
| Model Type | starcoder2 |
| Instruction-Based | Yes |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | Starcoder2ForCausalLM |
| License | bigcode-openrail-m |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.39.0.dev0 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 49152 |
| Torch Data Type | float16 |
| Activation Function | gelu |
Best Alternatives to Starcoder2 7B Instruct GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Dolphincoder Starcoder2 7B | 16K / 14.9 GB | 27 | 11 |
| Speechless Starcoder2 7B | 16K / 14.4 GB | 9 | 5 |
| Starcoder2 7B Instruct | 16K / 14.4 GB | 30 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than TechxGenus/starcoder2-7b-instruct-GPTQ .
Rank the Starcoder2 7B Instruct GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803